PyPI
ml-explore/mlx
MLX: An array framework for Apple silicon
MIT16. Sept. 2026 · Metriken 2.10.0
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#mlx
Alle Repositories im öffentlichen Register, die dieses Tag tragen — aus ihren GitHub-Topics oder den von ihren Paket-Registries veröffentlichten Schlagwörtern. Die Gesundheit wird nach derselben versionierten Methodik gemessen wie im übrigen Register.
46 Einträge
PyPI
Blaizzy/mlx-audio
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
MIT28. Aug. 2026 · Metriken 2.10.0
PyPI
Blaizzy/mlx-vlm
MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
MIT28. Aug. 2026 · Metriken 2.10.0
PyPI · Maven
maziyarpanahi/openmed
Local-first healthcare AI: clinical NER & HIPAA PII de-identification that runs 100% on-device. 2,200+ medical models, 21 languages, Apple MLX + Python, no cloud, no patient data leaving your network. Apache-2.0
Apache-2.016. Sept. 2026 · Metriken 2.10.0
PyPI
ml-explore/mlx-lm
Run LLMs with MLX
MIT28. Aug. 2026 · Metriken 2.10.0
PyPI
raullenchai/Rapid-MLX
The fastest local AI engine for Apple Silicon. 4.2x faster than Ollama, 0.08s cached TTFT, 100% tool calling. 17 tool parsers, prompt cache, reasoning separation, cloud routing. Drop-in OpenAI replacement. Works with Claude Code, Cursor, Aider.
Eigene Lizenz15. Sept. 2026 · Metriken 2.10.0
PyPI
mflux-community/mflux
Apple MLX native implementations of state-of-the-art generative image & video models
MIT8. Okt. 2026 · Metriken 2.10.0
crates.io · PyPI · npm
AlexsJones/llmfit
Hundreds of models & providers. One command to find what runs on your hardware.
MIT16. Sept. 2026 · Metriken 2.10.0
Go
defilantech/LLMKube
Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.
Apache-2.022. Okt. 2026 · Metriken 2.10.0
PyPI
waybarrios/vllm-mlx
High-performance OpenAI and Anthropic compatible LLM inference server for Apple Silicon. Native MLX, continuous batching, multimodal models, MCP tool calling, and Claude Code support.
Apache-2.020. Okt. 2026 · Metriken 2.10.0
PyPI · npm
jagoff/memo
Your coding agent starts every session with amnesia — memo fixes that, 100% on your machine. Persistent memory for Claude Code, Codex, Cursor & any MCP client: Markdown source of truth, hybrid search (MLX/CPU + sqlite-vec), time-machine, contradiction radar, nightly self-optimization. No cloud, no keys.
MIT12. Sept. 2026 · Metriken 2.10.0
PyPI
lpalbou/mlx-gen
Generative image and video runtimes for Apple Silicon (MLX): text/image-to-image, instruction editing, masked edit, text/image/reference-to-video, video editing, and restoration.
MIT10. Sept. 2026 · Metriken 2.10.0
PyPI · npm
rajveer43/VeloxQuant-MLX
Fast KV-cache quantization for Apple Silicon (MLX) — 43 research-adapted compression methods with Metal kernels
MIT21. Okt. 2026 · Metriken 2.10.0
PyPI
arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
MIT28. Aug. 2026 · Metriken 2.10.0
PyPI
jundot/omlx
LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar
Apache-2.016. Sept. 2026 · Metriken 2.10.0
PyPI · npm
magenta/magenta-realtime
Magenta RealTime 2: An Open-Weights Live Music Model
Apache-2.010. Sept. 2026 · Metriken 2.10.0
PyPI · npm
ChanLumerico/lucid
Lumerico's Comprehensive Interface for Deep Learning
MIT3. Okt. 2026 · Metriken 2.10.0
PyPI
binlecode/actop
Apple Silicon (M1–M4) power, GPU, ANE & memory-bandwidth monitor — sudoless TUI + Python API for profiling local LLM / MLX / CoreML inference
MIT14. Sept. 2026 · Metriken 2.10.0
Go · npm
lordmathis/llamactl
Unified management and routing for llama.cpp, MLX and vLLM models with web dashboard.
MIT20. Sept. 2026 · Metriken 2.10.0
PyPI
manjunathshiva/turboquant-mlx
Extreme weight + KV cache compression for LLMs on Apple Silicon (MLX implementation of Google's TurboQuant)
Apache-2.020. Okt. 2026 · Metriken 2.10.0
PyPI · npm
youssofal/MTPLX
3x faster speeds on MLX | Qwen 3.8 27B | Native MTP Speculative Decoding On Apple Silicon With No External Drafter.
Apache-2.015. Sept. 2026 · Metriken 2.10.0
npm · crates.io
mlx-node/mlx-node
Keine Repository-Beschreibung veröffentlicht.
MIT16. Sept. 2026 · Metriken 2.10.0
PyPI · npm
jjang-ai/vmlx
vMLX - Use MLX models easily - JANGQ (GGUF for MLX) - Not dependant on mlx_vlm
Apache-2.013. Sept. 2026 · Metriken 2.10.0
PyPI
lpalbou/AbstractFramework
Write once. Generate everything. A modular, open-source ecosystem for building durable, observable, multimodal AI systems. Text, voice, image, video, music — one unified interface, any provider, any model, local or cloud.
MIT18. Okt. 2026 · Metriken 2.10.0
crates.io
oxiglade/mlx-rs
Unofficial Rust bindings to Apple's mlx framework
Apache-2.015. Sept. 2026 · Metriken 2.10.0
PyPI
ARahim3/mlx-dspark
Up to 4× faster LLM decoding on Apple Silicon, lossless. Native MLX port of DeepSeek's DSpark & z-lab's DFlash speculative decoding — Gemma-4, Qwen3.8, Muse-Glimmer, Nemotron, LFM2.5, Ornith-1.0, ternary Bonsai-27B.
MIT19. Okt. 2026 · Metriken 2.10.0
PyPI
asher/mlx-kquant
Native K-quant support for MLX, with a quantization and fine-tuning toolchain for Apple Silicon
MIT23. Aug. 2026 · Metriken 2.10.0
PyPI
druide67/asiai
Multi-engine LLM benchmark & monitoring CLI for Apple Silicon
Apache-2.011. Sept. 2026 · Metriken 2.10.0
PyPI · npm
capabilityhostprotocol/chp-core
Capability Host Protocol — make agent and tool execution visible, replayable, and ready for governance.
Apache-2.08. Sept. 2026 · Metriken 2.10.0
npm · PyPI · crates.io
TaeSooPark-PTS/LatticeAI
Local-first private AI memory layer / Digital Brain for conversations, documents, decisions, and model-agnostic knowledge.
MIT11. Sept. 2026 · Metriken 2.10.0